Exceptional People + Purpose Beyond Profit = Watershed Outcomes

Exceptional People + Purpose Beyond Profit = Watershed Outcomes

Staff Software Engineer, Perception Frameworks, Autonomy



Software Engineering
Palo Alto, CA, USA · United States
Posted on Thursday, July 4, 2024

Job Description

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

We are seeking an experienced Staff Deep Learning Software Engineer to join our team at Rivian. As a member of the Deep Learning team, you will be responsible for building scalable deep learning data and model training pipelines, developing efficient frameworks for various aspects of the DL model lifecycle, and collaborating with infrastructure teams to support rapid benchmarking and optimization of our data and modeling pipelines.


  • Design and deploy large-scale systems for supervised and unsupervised model training paradigms
  • Develop highly scalable and efficient frameworks for different aspects of DL model lifecycle
  • Understand and address shortcomings in existing MLOPs processes and contribute to multiple production data and ML pipelines
  • Collaborate with infrastructure teams to develop tooling and interfaces for rapid benchmarking, analysis, and optimization of model training and serving workflows
  • Work closely with cross-functional teams to integrate DL models into larger systems


  • MS or Ph.D. in Electrical, Mechanical, Aerospace Engineering, Computer Science, or a related field
  • 5+ years of experience in training and deploying deep learning models for Computer Vision problems like object detection and segmentation
  • Strong Python programming background and working knowledge of at least one modern DL framework (PyTorch, TensorFlow, Caffe2, or MXNet)
  • Experience with containerization and job management using Kubernetes
  • Research and development experience in large-scale distributed training pipelines, automating complex MLOPs pipelines, or related areas
  • Excellent communication skills and ability to work in a fast-paced development environment
  • Hands-on experience with PySpark, Petastorm, and Parquet is highly desirable

Preferred Qualifications:

  • Experience developing and deploying ML pipelines using GCP, Azure ML, or AWS SageMaker
  • Prior experience following industry-standard MLOps and DevOps principles in an automotive/ADAS setting
  • Experience using DL frameworks like PyTorch Lightning or dl-catalyst

Pay Disclosure

Salary Range for California Based Applicants: $228,000.00 - $285,000.00 (actual compensation will be determined based on experience, location, and other factors permitted by law).

Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please note that we are currently not accepting applications from third party application services.